We study the implications of loss aversion for trade policy determination and show how it allows us to explain a number of important and puzzling features of trade policy. An important question concerning trade policy is why a disproportionate share of protection goes to declining industries. We show that if individuals' preferences exhibit loss aversion, higher protection will be given to sectors in which profitability is declining. In addition, by making lobby formation endogenous, we show that an industry will be more likely to become organized and lobby for protection if it has a loss. We also show that if the coefficient of loss aversion is large enough, there will be an anti-trade bias in trade policy. The anti-trade bias refers to the fact that trade policy tends to favor import-competing sectors and thus restricts rather than expands trade, and is considered an important puzzle in the literature. Our lobby formation predictions also reinforce the anti-trade bias result.We use a nonlinear regression procedure to estimate the parameters of the model and test its predictions. We find support for the model and the estimates of the loss aversion parameters are very close to those obtained by Kahneman and Tversky (1992) using experimental data. Protection is found to be more responsive to losses than to gains, and the estimates of the coefficient of loss aversion are about 2. The results are also consistent with diminishing sensitivity to income changes for both gains and losses, a prediction that distinguishes loss aversion from risk aversion. In order to test some predictions on the lobbying side, we estimate an equation on political organization and find evidence of loss aversion in lobby formation. Finally, but importantly, we find that the data favors our model over the current leading political economy model of trade protection, due to Grossman and Helpman (1994).
Why do governments employ inefficient policies to redistribute income towards special interest groups (SIGs) when more efficient ones are available? To address this puzzle we derive and test predictions for a set of policies where detailed data is available and an efficiency ranking is feasible: tariffs vs. non-tariff barriers (NTBs). In our policy choice model a government bargaining with domestic SIGs can gain by constraining tariffs through international agreements even if this leads to the use of the less efficient NTBs. This generates two key testable predictions (i) there is imperfect policy substitution, i.e. tighter tariff constraints are not fully offset by the higher NTBs they generate and (ii) the decision to commit to constraints depends on the government's bargaining power relative to SIGs. Using detailed data, we confirm that tariff constraints in trade agreements increase the likelihood and restrictiveness of NTBs. We also provide a structural estimate that indicates NTBs are less efficient than the tariffs they imperfectly replace. Moreover, we find parametric and non-parametric evidence that the higher the government bargaining power relative to a SIG the more relaxed the tariff constraint it chooses. This result is stronger for organized industries, which further supports the theory. The main theoretical insights and empirical approach can be applied to other policies to provide additional evidence on inefficient redistribution.
a b s t r a c t JEL classification: C7 D7 F13 F5 H2 Keywords: Commitment International agreements Trade Tariff Non-tariff barrier Political economyWhy do governments employ inefficient policies when more efficient ones are available for the same purpose? We address this puzzle in the context of redistribution toward special interest groups (SIGs) by focusing on a set of important policies: tariffs and non-tariff barriers (NTBs). In our policy choice model a government can gain by committing to constrain tariffs through international agreements even if this leads to the use of less efficient NTBs; commitment has political value because it improves the bargaining position of a government that is weak relative to domestic SIGs. Using detailed data we find support for several of the model's predictions including: (i) tariff commitments in trade agreements increase the likelihood and restrictiveness of NTBs but not enough to offset the original tariff reductions; (ii) tariff commitments are more likely to be adopted and more stringent when the government is weaker relative to a SIG. Thus, the results can explain the use of inefficient policies for redistribution and suggest that the bargaining motive is an important source of the political value of commitment in international agreements.
Why do governments employ inefficient policies to redistribute income towards special interest groups (SIGs) when more efficient ones are available? To address this puzzle we derive and test predictions for a set of policies where detailed data is available and an efficiency ranking is feasible: tariffs vs. non-tariff barriers (NTBs). In our policy choice model a government bargaining with domestic SIGs can gain by constraining tariffs through international agreements even if this leads to the use of the less efficient NTBs. This generates two key testable predictions (i) there is imperfect policy substitution, i.e. tighter tariff constraints are not fully offset by the higher NTBs they generate and (ii) the decision to commit to constraints depends on the government's bargaining power relative to SIGs. Using detailed data, we confirm that tariff constraints in trade agreements increase the likelihood and restrictiveness of NTBs. We also provide a structural estimate that indicates NTBs are less efficient than the tariffs they imperfectly replace. Moreover, we find parametric and non-parametric evidence that the higher the government bargaining power relative to a SIG the more relaxed the tariff constraint it chooses. This result is stronger for organized industries, which further supports the theory. The main theoretical insights and empirical approach can be applied to other policies to provide additional evidence on inefficient redistribution.
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